Triple
T20419613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mack the Knife |
E500811
|
entity |
| Predicate | hasNotableRecordingBy |
P1152
|
FINISHED |
| Object | Jimmy Somerville |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Jimmy Somerville | Statement: [Mack the Knife, hasNotableRecordingBy, Jimmy Somerville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jimmy Somerville Context triple: [Mack the Knife, hasNotableRecordingBy, Jimmy Somerville]
-
A.
Jimmy Somerville
chosen
Jimmy Somerville is a Scottish pop singer and songwriter known for his distinctive falsetto voice and as the frontman of the 1980s bands Bronski Beat and The Communards.
-
B.
Ed Shearmur
Ed Shearmur is a British film composer known for scoring a wide range of Hollywood movies across genres.
-
C.
Ritchie Smyth
Ritchie Smyth is an Irish director best known for his work on high-profile music videos and commercials.
-
D.
Sam Mills
Sam Mills was a standout undersized linebacker and team leader in the NFL, best known for his Pro Bowl play and inspirational presence with the New Orleans Saints and Carolina Panthers.
-
E.
Tim Preece
Tim Preece is a British actor best known for his work in television and theatre, including roles in classic series such as Doctor Who.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67ba39f7081909358f1103a0f241c |
completed | April 20, 2026, 7:16 p.m. |
Created at: April 16, 2026, 11:30 a.m.